Name: Application of Optimization Techniques to Spectrally Modulated, Spectrally Encoded Waveform Design (en Inglés)
Price: 95.32 PEN
Availability: InStock
Author: Beard, Todd William
ISBN: 9781288313518

portada Application of Optimization Techniques to Spectrally Modulated, Spectrally Encoded Waveform Design (en Inglés)

Application of Optimization Techniques to Spectrally Modulated, Spectrally Encoded Waveform Design (en Inglés)

Formato

Libro Físico

Autor

Todd William Beard

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

108

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.6 cm

Peso

0.21 kg.

ISBN13

9781288313518

Categorías

Educación
Tecnología: cuestiones generales

Application of Optimization Techniques to Spectrally Modulated, Spectrally Encoded Waveform Design (en Inglés)

Todd William Beard (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "Application of Optimization Techniques to Spectrally Modulated, Spectrally Encoded Waveform Design (en Inglés)"

A design process is demonstrated for a coexistent scenario containing Spectrally Modulated, Spectrally Encoded (SMSE) and Direct Sequence Spread Spectrum (DSSS) signals. Coexistent SMSE-DSSS designs are addressed under both perfect and imperfect DSSS code tracking conditions using a noncoherent delay-lock loop (DLL). Under both conditions, the number of SMSE subcarriers and subcarrier spacing are the optimization variables of interest. For perfect DLL code tracking conditions, the GA and RSM optimization processes are considered independently with the objective function being endto- end DSSS bit error rate. A hybrid GA-RSM optimization process is used under more realistic imperfect DLL code tracking conditions. In this case, optimization is accomplished using a correlation degradation metric with the GA process being first applied to generate a "coarse" solution followed by RSM processing which provides the final optimized solution. This work has successfully expanded the practical utility of a previously developed tool, the original SMSE framework, by demonstrating a more efficient, structured means for coexistent waveform design that replaces previous trial and error methods.